Article
Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
2022-04-20
Abstract excerpt
<h4>Background</h4> Expression quantitative trait loci (eQTL) studies have shown how genetic variants affect downstream gene expression. To identify the upstream regulatory processes, single-cell data can be used. Single-cell data also offers the unique opportunity to reconstruct personalized co-expression networks—by exploiting the large number of cells per individual, we can identify SNPs that alter co-expressi...
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Identifiers and source
- Literature Corpus work
- 83ae7644-6007-5d6c-825d-12692c5e7956
- DOI
- 10.1101/2022.04.20.488925
